Signal quality index: an algorithm for quantitative assessment of functional near infrared spectroscopy signal quality

Signal quality index: an algorithm for quantitative assessment of functional near infrared spectroscopy signal quality

We propose the signal quality index (SQI) algorithm as a novel tool for quantitatively assessing the functional near infrared spectroscopy (fNIRS) signal quality in a numeric scale from 1 (very low quality) to 5 (very high quality). The algorithm comprises two preprocessing steps followed by three c...

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Veröffentlicht in:Biomedical optics express 2020-11, Vol.11 (11), p.6732-6754
Hauptverfasser: Sappia, M. Sofía, Hakimi, Naser, Colier, Willy N. J. M., Horschig, Jörn M.
Format: Artikel
Sprache:eng
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Zusammenfassung:We propose the signal quality index (SQI) algorithm as a novel tool for quantitatively assessing the functional near infrared spectroscopy (fNIRS) signal quality in a numeric scale from 1 (very low quality) to 5 (very high quality). The algorithm comprises two preprocessing steps followed by three consecutive rating stages. The results on a dataset annotated by independent fNIRS experts showed SQI performed significantly better (p
ISSN:2156-7085
2156-7085
DOI:10.1364/BOE.409317